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Carrier Data Science Team Lead in Beverly, Massachusetts

Date Posted:

2020-11-11-08:00

Country:

United States of America

Location:

CAM60: Sensitech, Inc 800 Cummings Center, Beverly, MA, 01915 USA

Carrier is a leading provider of HVAC, refrigeration, fire, security, and building automation technologies. These high-technology products and services enable modern life by delivering efficiency, safety, and security across several platforms!

The Opportunity: Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just, because it’s the right thing to do, but because it makes Carrier stronger. If you share our values and our enthusiasm, you will find a home at Carrier. At Carrier, we take care of each other, value different, win and have fun. You will be joining a people-focused company as a member of a dynamic team shaping the future of our process and automation. The ideal candidate as a Data Science Team Lead will be able to demonstrate the following:

  • Leads team of data scientists to Develop operational and historical analytics, predictive analytics, machine learning, applies artificial intelligence algorithms

  • Defines validity of information, how long the information is meaningful, and what other information it is related to

  • Recommends ongoing improvements to methods and algorithms that lead to findings, including new information

  • Work with business to obtain an understanding of complex business problems and propose technical solutions

  • Help the organization understand the principles and the math behind the process to drive organizational buy-in

  • Presents and depicts the rationale of their findings in easy to understand terms for the business

  • Create probabilistic and statistical models

  • Provides on-going tracking and monitoring of performance of decision systems and statistical models

  • Ensures that the information used is in compliance with the regulatory and security policies in place

  • Interact cross functionally to deliver high quality software products

  • Ensure strong commitment to milestones, quality and deliverables

Qualifications

  • Track record of optimally applying machine learning models in practice and at scale

  • Advanced experience coding with Python (preferable, experience with Pandas preferred) and R for machine learning

  • Experience with big data visualization and BI

  • Experience with large datasets (>1 GB) with missing and noisy data in transportation/logistics or similar industry

  • Experience with time series alignment from heterogeneous data sets

  • Solid understanding of different machine learning algorithms

  • Ability to integrate open source machine learning and proprietary algorithms with existing data workflows

  • Be interested in learning and applying new big data toolsets and frameworks

  • Proficient in advanced probability and statistics

  • BS or MS in a computer science related field.

  • Excellent communication and leadership skills

  • Familiarity with basic principles of distributed computing and/or distributed databases

  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms

  • Solid knowledge of statistical techniques

  • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.

  • 10+ years of intensive quantitative and qualitative research and analytics experience

  • Overall passion and curiosity for technology, ability to research new technologies

  • Penchant for identifying and clarifying ambiguous requirements

  • Must be self-motivated and detail-oriented

  • A “can do” attitude with strong work ethic and a history of producing quality results

  • Strong communication and interpersonal skills

If considered for a job interview on-site, you may be asked to bring a working laptop with a working Anaconda implementation, and will be given a data science problem to work on.More information will be provided in the phone screen.

Eh&s requirements

  • Comply with the EH&S Policy and applicable regulatory and company EH&S rules and requirements

  • Report to supervision conditions or practices that are either unsafe or that may adversely impact the environment, to ensure prompt resolution of potential hazards

  • Attend scheduled EH&S training program

  • Actively support the organization’s efforts to meet or exceed EH&S goals and plans

  • Recommend improved EH&S practices

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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